人脸美化创建

import cv2
import dlib
from skimage import transform as tf

# 加载人脸检测器和关键点预测器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

def align_face(image, landmarks):
    reference_landmarks = np.array([
        [30.2946, 51.6963],
        [65.5318, 51.5014],
        [48.0252, 71.7366],
        [33.5493, 92.3655],
        [62.7299, 92.2041]
    ], dtype=np.float32)
    tform = tf.SimilarityTransform()
    tform.estimate(landmarks, reference_landmarks)
    aligned_image = tf.warp(image, tform.inverse, output_shape=(100, 100))
    return (aligned_image * 255).astype(np.uint8)

cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    if not ret:
        break
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = detector(gray)
    for face in faces:
        landmarks = predictor(gray, face)
        landmarks_np = np.zeros((68, 2), dtype=int)
        for i in range(0, 68):
            landmarks_np[i] = (landmarks.part(i).x, landmarks.part(i).y)
        aligned_face = align_face(frame, landmarks_np)
        cv2.imshow('Aligned Face', aligned_face)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()